Daniel González-Montoya

Advances in Power and Energy Systems

Processing electrical energy is one of the most important research fields in our society. So far, tremendous efforts have been made to improve the efficiency of each step in electrical systems: generation systems have been enhanced by introducing renewable energy sources and new control systems for conventional generators, losses have been reduced, the power quality of distribution and transmission systems has been increased, the life-time and state-of-health of energy storage devices have been extended, and sections of the power grid have been isolated for intelligent energy management.

Análisis de factibilidad técnico-económico de microrredes que integran celdas de combustible en zonas no interconectadas de Colombia

La necesidad de proveer soluciones energeticas sostenibles para las zonas no interconectadas de Colombia, dependiendo de los recursos renovables disponibles en cada zona, supone un desafio respecto al analisis de viabilidad tecnico-economica de las alternativas de solucion a traves de las microrredes. Este documento tiene como objetivo analizar el impacto tecnico-economico de introducir celdas de combustible en la reduccion de costos a lo largo del tiempo de vida de una microrred para zonas no interconectadas, empleando el software HOMER. Dicho impacto se evalua tanto en el diseno tecnico de la microrred como en el Valor Presente Neto y en el Costo nivelado de Energia (

Análisis de la estabilidad de alto orden de un convertidor buck entrelazado basado en el método de Filippov

/kWh). El analisis se realiza a partir de la cuantificacion de la demanda de un poblado prototipo, el dimensionamiento y costo de las tecnologias que conforman la microrred para atender la demanda, y la disponibilidad de los recursos renovables solar y eolico de dos zonas localizadas en diferentes latitudes no interconectadas de Colombia. Adicionalmente, se analiza el efecto de introducir las celdas de combustible en el mix energetico, resaltando las ventajas obtenidas al comparar cada caso frente a una generacion tradicional basada en consumo de Diesel.

Reconfiguración de paneles fotovoltaicos para reducción del consumo de hidrógeno en las celdas de combustible de sistemas híbridos

espanolEl diseno de convertidores conmutados en gran parte de la literatura cientifica esta realizado desde el modelo promediado, debido a la facilidad de obtener las funciones de transferencia lineales. Asimismo, la conmutacion en los convertidores de potencia causa un rizado en las variables de estado que no es considerado en el modelo promediado. El componente de frecuencia de una de las variables de estado esta compuesto por un espectro de potencia con un unico pico de nivel DC (valor promedio), un unico pico a la frecuencia de conmutacion (componente de rizado) y en un numero finito de picos en cada sub-armonico (inestabilidades). El metodo de Filippov es utilizado para la prediccion de inestabilidades debidas a las dinamicas rapidas, este metodo predice el rango de los parametros que evitan la primera bifurcacion en las dinamicas rapidas. En el presente articulo se presenta una prediccion de un espacio de parametros estables para el controlador PI (), estimados por el metodo de Filippov para un convertidor buck de dos fases con regulacion de voltaje. Finalmente, los resultados presentados son validados mediante simulaciones de Matlab y Psim. EnglishIn many papers, the averaged model of power switching converters is used to design the control system due to its simple manipulation, which can be approximated by linear transfer functions. Therefore, the power converter commutation causes a state variable ripple that is not considered on the averaged model. The component frequency of the state variables is composed by a power spectrum with a unique peak at the DC level (average variable), a unique peak at the switching frequency (ripple component) and a finite number of peaks in each sub-harmonic (instabilities). The Filippov method is used for instability predictions due to fast dynamics, this method predicts the parameters range that avoids the first bifurcation of the fast dynamics. In this paper a stable space of parameters (Kp, Ti) for a PI controller is presented, it estimated with the Filippov method, for a buck converter with voltage regulation. Finally, the presented results are validated using both Matlab and Psim simulations.

Dimensionamiento de Sistemas de Generación Fotovoltaicos Localizados en la Ciudad de Medellín

Hybrid generation combines advantages from fuel cell systems with non-predictable generation approaches, such as photovoltaic and wind generators. In such hybrid systems, it is desirable to minimize as much as possible the fuel consumption, for the sake of reducing costs and increasing the system autonomy. This paper proposes an optimization algorithm, referred to as population-based incremental learning, in order to maximize the produced power of a photovoltaic generator. This maximization reduces the fuel consumption in the hybrid aggregation. Moreover, the algorithms speed enables the real-time computation of the best configuration for the photovoltaic system, which also optimizes the fuel consumption in the complementary fuel cell system. Finally, a system experimental validation is presented considering 6 photovoltaic modules and a NEXA 1.2KW fuel cell. Such a validation demonstrates the effectiveness of the proposed algorithm to reduce the hydrogen consumption in these hybrid systems.

General modeling procedure for photovoltaic arrays

Photovoltaic systems are one of the most efficient solutions to the energy crisis of the last decades. The implementation of these systems will be economically feasible in most cases, due to extensive number of advantages that they exhibit. However, for the sake of better economic performance, it is important to generate different strategies for their management. This paper presents an optimization strategy based on the redistribution of power generated, which seeks to stop spending as it is produced to take advantage of those times when energy rates are higher, making use of a storage system. The steps for the photovoltaic system design with these criteria and economic analysis will be presented.